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clinicaltrials-skill

Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries

75

Quality

92%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise, fully actionable with executable examples, and well-structured for a simple single-purpose skill, with a clearly signaled one-level reference to its bundled script.

DimensionReasoningScore

Conciseness

The body is lean across operating rules, execution behavior, input/output specs, and a concrete example with no padding or explanation of concepts Claude already knows, matching the score-3 'every token earns its place' anchor; it is not score 2 because there is no unnecessary explanation to tighten.

3 / 3

Actionability

It provides a fully executable bash command with a complete JSON payload, exact action names, parameter names, and output fields, matching the score-3 'copy-paste ready' anchor; not score 2 because the guidance is complete and executable rather than pseudocode or missing details.

3 / 3

Workflow Clarity

This is a simple single-action skill (read JSON from stdin, choose one action, return compact output or an ok=false error) whose single action is unambiguous, so per the simple-skills scoring note it scores 3; it is not capped at 2 because the operations are read-only queries rather than destructive or batch operations requiring validation feedback loops.

3 / 3

Progressive Disclosure

The skill is under 50 lines with well-organized sections and a single one-level reference to the real bundle file scripts/clinicaltrials_client.py, matching the score-3 simple-skill anchor; not score 2 because references are clearly signaled and nothing is monolithic or deeply nested.

3 / 3

Total

12

/

12

Passed

Description

85%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinctive with an explicit 'Use when' trigger, but its trigger-term coverage leans on API jargon and misses common natural phrasings a user might actually say.

Suggestions

Add natural-language trigger variations users would say, such as 'find clinical trials', 'search trial studies', or 'look up ClinicalTrials.gov results', alongside the existing API-v2 terminology.

Broaden the 'Use when' clause beyond 'concise summaries' to cover common intents like finding recruiting trials or fetching trial metadata.

DimensionReasoningScore

Specificity

"Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics" lists multiple specific concrete actions, matching the score-3 anchor rather than the score-2 anchor that only names a domain and some actions.

3 / 3

Completeness

It states both what it does (submit requests for study search, metadata, enums, etc.) and when to use it ("Use when a user wants concise ClinicalTrials.gov summaries"), an explicit trigger clause matching the score-3 anchor; not score 2 because the 'when' is explicit rather than implied.

3 / 3

Trigger Term Quality

Relevant keywords exist ("ClinicalTrials.gov", "study search", "summaries") but they lean toward API jargon ("API v2", "enums", "field statistics") and miss common natural variations users would say, fitting the score-2 anchor; it is above score 1 because some natural terms are present, but not score 3 due to incomplete coverage.

2 / 3

Distinctiveness Conflict Risk

The ClinicalTrials.gov API v2 niche is highly specific with distinct triggers and is unlikely to overlap with other skills, matching the score-3 anchor; it is well above the score-2 'could still overlap' anchor.

3 / 3

Total

11

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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